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Predictive Modeling in Biomedical Data Mining and Analysis, Paperback / softback Book

Predictive Modeling in Biomedical Data Mining and Analysis Paperback / softback

Edited by Sudipta (Research Associate, PRTTL, Washington University, Saint Louis, Missouri, USA) Roy, Lalit Mohan (Department of Computer Engineering, J.C. Bose University of Science & Technology Goyal, Valentina Emilia (Full Professor, Department of Automatics and Applied Software, Faculty of E Balas, Basant (Assistant Professor at the Indian Institute of Information Technology Kota (IIIT-Ko Agarwal, Mamta (Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneursh Mittal

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Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis.

The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence.

The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis.

As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications.

These techniques have shown impressive results across a variety of domains in biomedical engineering research.

Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information.

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